https://github.com/jimthompson5802/datascience_containers

Personal docker images for various data science software stacks
https://github.com/jimthompson5802/datascience_containers

data-science docker h2oai jupyter-notebook kubernetes python rstudio-servers spark

Last synced: 27 days ago
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Personal docker images for various data science software stacks

• Host: GitHub
• URL: https://github.com/jimthompson5802/datascience_containers
• Owner: jimthompson5802
• License: mit
• Created: 2018-10-23T02:57:20.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-02-25T01:04:12.000Z (almost 5 years ago)
• Last Synced: 2024-12-21T12:44:15.300Z (about 1 month ago)
• Topics: data-science, docker, h2oai, jupyter-notebook, kubernetes, python, rstudio-servers, spark
• Language: Shell
• Homepage:
• Size: 627 KB
• Stars: 1
• Watchers: 3
• Forks: 1
• Open Issues: 16
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Data Science Software Stack Docker Prototype

Docker images providing the following data science software stacks for peronsal use:

* Anaconda Python with Jupyter Notebook

* Rstudio Server 

* Apache Spark (Stand-alone)

* Tensorflow (cpu and gpu versions)

* h2o

* xgboost

* lightgbm

See [wiki](https://github.com/jimthompson5802/datascience_containers/wiki) for additional information.

Built docker images can be found at [dockerhub.com](https://hub.docker.com/u/dsimages/)

This work inspired by these talks:

* [Docker for Data Scientists](https://www.youtube.com/watch?v=GOW6yQpxOIg)

* [Capital One Analytic Garage on Docker](https://www.youtube.com/watch?v=ogDa2-A1y9U)

## System Requirements:

* MacOS

* [Docker for Mac](https://store.docker.com/editions/community/docker-ce-desktop-mac) 18.06.1 ce (requires kubernetes enabled)

* Chrome Browser

## Directories:

* `bin` scripts to start and stop containers

* `h2oai` h2o Flow server

* `jpynb` Anaconda Python with additional packages: h2o, xgboost, lightgbm

* `pyspnb` Ancaonda Python with stand-alone Spark

* `rstudio` Rstudio Server (Community Edition)

* `tfcpu` Tensorflow with Python 3 and Jupyter Notebook (cpu)

* `tfgpu` Tensorflow with Python 3 and Jupyter Notebook (gpu)